Arşiv logosu
  • Türkçe
  • English
  • Giriş
    Yeni kullanıcı mısınız? Kayıt için tıklayın. Şifrenizi mi unuttunuz?
Arşiv logosu
  • Koleksiyonlar
  • Sistem İçeriği
  • Analiz
  • Talep/Soru
  • Türkçe
  • English
  • Giriş
    Yeni kullanıcı mısınız? Kayıt için tıklayın. Şifrenizi mi unuttunuz?
  1. Ana Sayfa
  2. Yazara Göre Listele

Yazar "Yüce M.Ö." seçeneğine göre listele

Listeleniyor 1 - 1 / 1
Sayfa Başına Sonuç
Sıralama seçenekleri
  • Küçük Resim Yok
    Öğe
    The Effects of 3D Modeling on Planning of Maxillofacial Surgery: A Preliminary CBCT Study#
    (Cumhuriyet University Faculty of Dentistry, 2022) Ulusoy A.C.; Şener E.; Yüce M.Ö.; Özer M.A.; Karaman A.; Gökmen F.; Boyacioğlu H.
    Objectives: The aim is to evaluate the contribution of 3D modeling data to the planning of the maxillofacial surgery and to determine the indications of 3D modeling. Materials and Methods: In this preliminary study, CBCT images of 2 patients with the Kodak 9000 3D (Kodak Carestream Health, Trophy, France) system were used. The segmentation procedures of the pathologies were performed manually, and was followed by the construction of the 3D models. A questionnaire was prepared by consensus of the research team, including the parameters which are critical in preoperative maxillofacial surgery planning. Five oral and maxillofacial surgeons independently evaluated both the traditional CBCT data and 3D model assisted data under the same viewing conditions. The extent of their decision change was scored using a 2 point Likert scale. Conventional (pre 3D model) versus 3D model assisted data (post 3D model) scores were analyzed. Pair-wise comparisons were completed using Fisher's exact test. Kappa was used to measure inter-observer agreement. Results: In both of the evaluation sessions (pre and post 3D model), operation time, defect size and complication risk factors showed the highest variation for both patients. The difference between the decision change proportions for the variables of pre and post 3D model sessions were not statistically significant. Except 2 observers with excellent agreement for both evaluations, the agreement rates were fair without statistical significance. Conclusions: The results showed that personalized 3D modeling constructed by CBCT data may lead to changes in surgical treatment planning protocol of complex cases. © 2022. All Rights Reserved.

| Ege Üniversitesi | Kütüphane | Açık Erişim Politikası | Rehber | OAI-PMH |

Bu site Creative Commons Alıntı-Gayri Ticari-Türetilemez 4.0 Uluslararası Lisansı ile korunmaktadır.


Ege Üniversitesi Rektörlüğü Gençlik Caddesi No : 12 35040 Bornova - İZMİR, TÜRKİYE
İçerikte herhangi bir hata görürseniz lütfen bize bildirin

DSpace 7.6.1, Powered by İdeal DSpace

DSpace yazılımı telif hakkı © 2002-2025 LYRASIS

  • Çerez Ayarları
  • Gizlilik Politikası
  • Son Kullanıcı Sözleşmesi
  • Geri Bildirim